Overview

AI agent governance asks who may delegate authority to agents, which actions they can take, and how people can detect, contest, or remedy harmful behavior. Technical approaches include runtime policy enforcement, capability-based access, contracts and formal verification, human approval gates, and auditable records of actions, identity, and delegation. Other work examines governance of persistent memory and agent collectives, alongside legal responsibility, institutional design, and standards for interoperable systems. The field is developing practical architectures and benchmarks, but a central tension remains: stronger controls can reduce risk while limiting autonomy and usefulness, and bounded tests do not yet establish reliable governance in open-ended deployments.

Latest papers

CardsList

446 papers37 papers in the last four weeks, down 36% on the four weeks before. 0.2% of all new papers.

  1. Mechanical Conscience: A Mathematical Framework for Dependability of Machine Intelligence

    May 5, 2026Munkhdelgerekh Batzorig, Purevbaatar Ganbold, Kyungbin Park +2Multi-Agent SystemsAI Agent Governance

  2. TRACE: A Metrologically-Grounded Engineering Framework for Trustworthy Agentic AI Systems in Operationally Critical Domains

    May 5, 2026Serhii ZabolotniiAI Agent SafetyAI Agent Governance

  3. An Empirical Study of Agent Skills for Healthcare: Practice, Gaps, and Governance

    May 4, 2026Gelei Xu, Ningzhi Tang, Xueyang Li +4HealthcareAI Agent Safety

  4. ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning

    May 4, 2026Safayat Bin Hakim, Keyan Guo, Wenkai Tan +3LLM Agent Self-ImprovementAI Agent Governance

  5. Who Decides What Is Harmful? Content Moderation Policy Through A Multi-Agent Personalised Inference Framework

    May 2, 2026Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska +1LLM GuardrailsContent Moderation

  6. Governing What the EU AI Act Excludes: Accountability for Autonomous AI Agents in Smart City Critical Infrastructure

    May 1, 2026Talal Ashraf Butt, Muhammad Iqbal, Razi IqbalAI AccountabilityMulti-Agent Systems

  7. Comprehensive AI governance requires addressing non-model gains

    May 1, 2026Arthur Goemans, Dan Altman, Noemi Dreksler +8AI Risk ManagementAI Agent Governance

  8. AgentReputation: A Decentralized Agentic AI Reputation Framework

    Apr 30, 2026Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue LiAI AccountabilityAI Agent Security

  9. Compliance-Aware Agentic Payments on Stablecoin Rails

    Apr 30, 2026Kenneth See, Xue Wen TanFinancial ServicesAI Agent Governance

  10. When Agents Evolve, Institutions Follow

    Apr 30, 2026Chao Fei, Hongcheng Guo, Yanghua XiaoMulti-Agent OrchestrationMulti-Agent Systems

  11. End-to-End Evaluation and Governance of an EHR-Embedded AI Agent for Clinicians

    Apr 30, 2026Aaryan Shah, Andrew Hines, Alexia Downs +6HealthcareAI Agent Evaluation

  12. Ambient Persuasion in a Deployed AI Agent: Unauthorized Escalation Following Routine Non-Adversarial Content Exposure

    Apr 29, 2026Diego F. Cuadros, Abdoul-Aziz MaigaAgent Failure AnalysisAI Agent Security

  13. TRUST: A Framework for Decentralized AI Service v.0.1

    Apr 29, 2026Yu-Chao Huang, Zhen Tan, Mohan Zhang +3AI Agent ReliabilityAI Accountability

  14. TDD Governance for Multi-Agent Code Generation via Prompt Engineering

    Apr 29, 2026Tarlan Hasanli, Shahbaz Siddeeq, Bishwash Khanal +3LLM PromptingAI Agent Governance

  15. Agent Name Service (ANS): A Proof-of-Concept Trust Layer for Secure AI Agent Discovery, Identity, and Governance in Kubernetes

    Apr 29, 2026Akshay Mittal, Elyson De La CruzAI Agent SecurityAI Agent Governance

  16. Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents

    Apr 28, 2026Eranga Bandara, Ross Gore, Asanga Gunaratna +12Cognitive Architectures for AI AgentsAI Agent Governance

  17. Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents

    Apr 27, 2026German Marin, Jatin ChaudharyAI Agent SafetyAI Agent Monitoring

  18. FastOMOP: A Foundational Architecture for Reliable Agentic Real-World Evidence Generation on OMOP CDM data

    Apr 27, 2026Niko Moeller-Grell, Shihao Shenzhang, Zhangshu Joshua Jiang +2Multi-Agent OrchestrationHealthcare

  19. EndoGov: A knowledge-governed multi-agent expert system for endometrial cancer risk stratification

    Apr 26, 2026Weiye Dai, Liyun Shi, Zanxiang He +4Clinical Decision SupportMulti-Agent Systems

  20. AI Identity: Standards, Gaps, and Research Directions for AI Agents

    Apr 25, 2026Takumi Otsuka, Kentaroh Toyoda, Alex LeungAI AccountabilityAI Agent Security